Stability Control of Quadrotor UAV with Manipulator

Compared with Unmanned Aerial Vehicles (UAV), a UAV with a manipulator (UAVM) exhibits significant trajectory deviations. Due to the coupling of the UAV and the manipulator, the stable control of UAVM represents a challenging problem. To address this issue, a PID-based control approach is proposed. First, the dynamics of UAVM is developed using the Euler-Lagrange method. Second, a PID-based controller is designed to achieve stable control of UAVM. Finally, numerical simulations are carried out to verify the proposed approach. Simulation results show that the manipulator accurately track its trajectory while the stability of UAV is achieved.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/rcae62637.2024.10834226
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Stability Control of Quadrotor UAV with Manipulator

Kun Yan, Chenghang Wang, Alejandro Gutiérrez–Giles, Suping Zhao et al.
Robotic Path Planning Algorithms
article

Stability Control of Quadrotor UAV with Manipulator

Kun Yan, Chenghang Wang, Alejandro Gutiérrez–Giles, Suping Zhao, Xiaohua Song, Chaobo Chen
article en

Abstract

Compared with Unmanned Aerial Vehicles (UAV), a UAV with a manipulator (UAVM) exhibits significant trajectory deviations. Due to the coupling of the UAV and the manipulator, the stable control of UAVM represents a challenging problem. To address this issue, a PID-based control approach is proposed. First, the dynamics of UAVM is developed using the Euler-Lagrange method. Second, a PID-based controller is designed to achieve stable control of UAVM. Finally, numerical simulations are carried out to verify the proposed approach. Simulation results show that the manipulator accurately track its trajectory while the stability of UAV is achieved.

Xi'an Technological University (CN)
Ministry of Education, National Natural Science Foundation of China, Research and Development
Affordable and clean energy
Openalex Percentile: Top 75%
Robotic Path Planning Algorithms
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